UX Analyst

📍 Job Overview

Job Title: UX Analyst

Company: Pulse Labs AI, Inc.

Location: India (Remote)

Job Type: Full-Time

Category: Operations & Research Analysis

Date Posted: 2026-05-06

Experience Level: 2-5 Years

Remote Status: Fully Remote

🚀 Role Summary

• Execute and manage qualitative research projects, including diary studies, focus groups, IDIs, and longitudinal panel studies, leveraging proprietary tools.

• Analyze rich video, survey, and interaction data to interpret user perceptions and behaviors with next-generation products.

• Collaborate closely with UX researchers and operations teams to ensure data integrity, maintain project timelines, and uphold research rigor.

• Develop high-quality data visualizations and client deliverables, translating complex findings into actionable recommendations.

• Contribute to the continuous improvement of internal processes and provide valuable feedback to product development teams.

📝 Enhancement Note: While the title is "UX Analyst," the description heavily emphasizes operational execution of research projects, data integrity, and client reporting, aligning it closely with a Revenue Operations or Sales Operations support role focused on GTM insights, rather than a pure UX design or strategy position. The emphasis on "fast-paced multi-project environment," "logistical operations," and "data repositories" points to a need for strong operational discipline and process management.

📈 Primary Responsibilities

• Directly support UX researchers in the execution of qualitative research projects by understanding project objectives, customer requirements, analytical plans, and business goals.

• Manage logistical operations for research programs, including the maintenance of research timelines, project schedules, question banks, and data repositories.

• Collaborate with the operations team to ensure collected data aligns precisely with study requirements and quality standards, minimizing data discrepancies.

• Assist in the development of initial project plans and analyses, ensuring sound research methodologies are applied from inception to completion.

• Analyze participant responses from video transcripts, surveys, and other study data to synthesize key research findings and formulate actionable recommendations for clients.

• Under the guidance of UX researchers, create and deliver client-facing reports, scorecards, toplines, and slide decks that clearly communicate research outcomes.

• Design and develop high-quality data visualizations that effectively and efficiently communicate complex data and key findings to diverse stakeholders.

• Actively collaborate with internal teams, including design and engineering, to enhance proprietary platform functionalities and internal operational processes.

• Provide constructive feedback to product development teams on potential improvements to the company's proprietary platform based on user interaction analysis.

📝 Enhancement Note: The responsibilities highlight a blend of research execution and operational support, suggesting the need for someone who can manage project workflows, ensure data quality, and contribute to delivering client-ready insights. The emphasis on "logistical operations," "data repositories," and "ensuring collected data matches study requirements" indicates a strong operational component to this role, akin to a Sales Operations Analyst supporting market research or customer insights.

🎓 Skills & Qualifications

Education: Undergraduate degree in Psychology, Research Methods, Survey Methodology, Human-Computer Interaction (HCI), Sociology, or a related field. A graduate degree is considered a preferred qualification.

Experience: 2+ years of experience working as an analyst in a research setting or in a detail-oriented operations environment.

Required Skills:

• Demonstrated knowledge of the end-to-end research lifecycle, including common UX research methods and analysis techniques.

• Expertise in data collection, data analysis, and data interpretation, with a keen ability to identify patterns and anomalies.

• Proven experience working collaboratively within a team of researchers and alongside operations personnel in a fast-paced, dynamic environment.

• Strong written and verbal communication skills, essential for client reporting and internal collaboration.

• High attention to detail, critical for ensuring data accuracy and identifying subtle trends.

• Collaborative attitude and ability to foster a positive and productive work environment.

• High comfort level using emerging technologies and various software systems, particularly cloud-based productivity suites.

Preferred Skills:

• Previous experience in a consulting environment conducting research for commercial clients.

• Prior experience working with early-to-mid stage startups or established tech companies (e.g., FAANG).

• Graduate degree in a relevant field.

📝 Enhancement Note: The experience requirement bridges research and operations, emphasizing "detail-oriented operations environment" as an alternative to a pure research analyst role. This suggests candidates with strong analytical and process management skills from operations backgrounds (like Sales Ops or Rev Ops) who can apply them to research data would be a good fit. The emphasis on Google Suite tools points to a need for practical, hands-on data manipulation skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of executed research projects, detailing the scope, methodology, and your specific role in data collection and analysis.

• Include case studies demonstrating your ability to analyze qualitative and quantitative data, identify key themes, and derive actionable insights.

• Present examples of client deliverables, such as reports, scorecards, or slide decks, highlighting your data visualization and communication skills.

Process Documentation:

• Demonstrate your understanding of research process workflows, from project initiation and data collection to analysis and final reporting.

• Illustrate your approach to ensuring data quality and integrity throughout the research lifecycle.

• Showcase experience in refining and improving research processes or operational workflows for greater efficiency and effectiveness.

📝 Enhancement Note: For a role with a strong operational component, a portfolio that showcases not just analytical findings but also the process of managing research logistics, ensuring data quality, and delivering structured reports will be highly valued. This aligns with the expectations for operations professionals who can demonstrate end-to-end process ownership and improvement.

💵 Compensation & Benefits

Salary Range: Based on the experience level (2-5 years), location (India), and the nature of the role involving specialized analytical and operational skills, an estimated annual salary range for a UX Analyst in India would be ₹600,000 to ₹1,200,000 per annum. This range accounts for variations in experience, specific skill sets, and regional market competitiveness.

Benefits:

• Full-time employment with a growing AI technology company.

• Opportunity to work with cutting-edge proprietary tools and platforms.

• Collaborative and fast-paced work environment focused on innovation.

• Remote work flexibility, allowing for a healthy work-life balance.

• Professional development opportunities in UX research, data analysis, and operations.

• Contribution to the development and improvement of next-generation products.

Working Hours: The standard working hours are likely to be around 40 hours per week, typical for a full-time role. Given the remote nature and international team, flexibility may be required to accommodate different time zones for collaboration, but core hours will likely align with Indian business standards.

📝 Enhancement Note: Salary estimation for India is based on aggregated data from reputable job boards and salary aggregators for similar roles (UX Analyst, Research Analyst, Operations Analyst) with 2-5 years of experience in major Indian tech hubs. The range is adjusted for a remote position within India. Benefits are inferred based on typical offerings for full-time tech roles in startups.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) & User Experience Research Technology. Pulse Labs AI is at the forefront of using AI to analyze user interactions and perceptions, providing critical insights for product development in the rapidly evolving tech landscape.

Company Size: The company is likely a startup or early-to-mid-stage company, given the mention of "early-to-mid-stage startups" and "FAANG or other top tech companies" as previous work environments. This suggests a dynamic, agile, and potentially more hands-on environment where individual contributions have a significant impact.

Founded: While the founding date is not specified, the company's focus on proprietary tools and AI suggests a relatively modern establishment, likely within the last decade.

Team Structure:

• The UX Analyst will be part of a dedicated group of researchers and analysts, suggesting a specialized team focused on GTM insights and user feedback.

• The role involves close collaboration with UX Researchers and the broader Operations team, indicating a cross-functional team structure essential for research execution.

Methodology:

• Data analysis and insights are central, with an emphasis on interpreting qualitative data from user interactions and surveys using proprietary AI tools.

• Workflow planning and optimization strategies are applied to research project logistics, timelines, and data management.

• Automation and efficiency are key, as indicated by the use of proprietary platforms and the goal of improving internal processes.

Company Website: https://pulselabs.ai/

📝 Enhancement Note: The company's focus on AI in UX research implies a culture that values innovation, data-driven decision-making, and technological advancement. The startup environment suggests a need for adaptability and a proactive approach to problem-solving.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an analyst level, suitable for individuals with 2-5 years of experience. It represents a foundational to intermediate step for those looking to build expertise in research operations, data analysis, and GTM insights. It bridges the gap between junior analyst roles and more senior research or operations management positions.

Reporting Structure: The UX Analyst will report to a UX Researcher or a Research Operations Manager. They will work closely with a team of fellow analysts and researchers, and collaborate with product, design, and engineering teams.

Operations Impact: The role has a direct impact on product development and client success by providing critical qualitative insights into user behavior and perceptions. These insights inform product strategy, feature prioritization, and overall GTM effectiveness by ensuring products meet user needs and expectations.

Growth Opportunities:

• Specialization: Deepen expertise in specific qualitative research methodologies (e.g., longitudinal studies, ethnography) or advanced data analysis techniques.

• Process Improvement Leadership: Take ownership of refining and optimizing research operational workflows, potentially leading to a role in Research Operations Management.

• Cross-Functional Mobility: Transition into roles within product management, data science, or GTM strategy teams by leveraging acquired analytical and business insight skills.

• Mentorship: Grow into a mentor for junior analysts or interns as the team expands.

📝 Enhancement Note: The growth paths are geared towards specializing in research operations, data analysis, or leveraging these skills for broader GTM strategy and product development roles, reflecting a common trajectory for operations professionals in tech.

🌐 Work Environment

Office Type: Fully Remote. This allows for flexibility in work location within India.

Office Location(s): India. Candidates can be located anywhere within India, offering broad accessibility.

Workspace Context:

• A fully remote setup necessitates strong self-discipline, time management, and effective virtual communication tools.

• Access to proprietary Pulse Labs AI tools and platforms will be provided, likely cloud-based, requiring stable internet connectivity.

• Collaboration will primarily occur via digital channels, including video conferencing, chat, and project management software.

Work Schedule: Standard full-time hours (approx. 40 hours/week) are expected, with potential for flexibility to accommodate cross-timezone collaboration. The remote nature supports a balance between dedicated work time and personal life.

📝 Enhancement Note: The remote work environment requires candidates to be proactive in communication and collaboration, leveraging digital tools to maintain team cohesion and project momentum, a skill set highly valued in modern operations roles.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications, focusing on alignment with required experience and skills.

• Technical/Skills Assessment: Candidates may undergo a technical interview or be given a take-home assignment to assess data analysis, interpretation, and visualization skills, potentially involving a small research scenario.

• Team/Cultural Fit Interview: Interviews with UX researchers and/or operations team members to evaluate collaborative abilities, communication style, and alignment with the company's fast-paced, research-oriented culture.

• Hiring Manager Interview: A final discussion to assess overall fit, career aspirations, and strategic thinking.

Portfolio Review Tips:

• Highlight Operational Execution: Showcase projects where you managed research logistics, ensured data quality, or streamlined operational processes. This demonstrates your value beyond just analysis.

• Quantify Impact: Whenever possible, use metrics to demonstrate the impact of your findings or process improvements (e.g., "reduced data processing time by X%", "insights led to a Y% improvement in user task completion").

• Clear Communication: Ensure your portfolio examples are well-organized, easy to understand, and clearly articulate the problem, your approach, and the results. Use visuals effectively.

• Tailor to Role: Emphasize projects that align with qualitative research, data analysis, and operational support, demonstrating your understanding of Pulse Labs AI's core business.

Challenge Preparation:

• Be prepared to discuss your approach to analyzing qualitative data and identifying recurring themes.

• Practice articulating complex findings and recommendations concisely and clearly, as if presenting to a client.

• Familiarize yourself with common UX research methodologies and their applications.

• Be ready to discuss how you would handle ambiguity and tight deadlines in a fast-paced operational environment.

📝 Enhancement Note: The portfolio review will likely focus on demonstrated ability to execute research projects operationally, analyze qualitative data rigorously, and translate findings into actionable client deliverables, mirroring the requirements of high-impact operations roles.

🛠 Tools & Technology Stack

Primary Tools:

• Proprietary Pulse Labs AI Tools: Proficiency in learning and utilizing new, specialized platforms is essential.

• Google Workspace: Strong command of Google Docs for documentation, Google Sheets for data analysis and manipulation, and potentially Google Slides for presentations.

Analytics & Reporting:

• Data Analysis Software: Experience with tools for qualitative and quantitative data analysis (e.g., Excel, advanced Sheets functions, potentially statistical software if applicable).

• Data Visualization Tools: Ability to create clear and effective visualizations using tools like Google Sheets, or potentially dedicated BI tools if integrated.

• Survey Platforms: Familiarity with survey creation and data extraction from platforms like SurveyMonkey, Typeform, or similar.

CRM & Automation:

• While not explicitly mentioned, familiarity with project management tools (e.g., Asana, Trello, Jira) and collaboration platforms (e.g., Slack, Microsoft Teams) is expected for a remote, fast-paced environment.

• Understanding of how research data can feed into CRM systems or inform sales/marketing automation strategies could be a plus.

📝 Enhancement Note: The emphasis on Google Suite and the need to learn proprietary tools suggests a practical, hands-on approach to data management and analysis, common in operations roles that require adapting to specific company platforms.

👥 Team Culture & Values

Operations Values:

• Rigor and Quality: A commitment to maintaining high standards in research execution and data analysis.

• Collaboration: A team-player mentality essential for working effectively with researchers, operations personnel, and product teams.

• Adaptability: Comfort working in a fast-paced, multi-project, and often ambiguous environment.

• Data-Driven Decision Making: A focus on using insights derived from data to inform product development and client recommendations.

• Continuous Improvement: A proactive approach to identifying and implementing enhancements to internal processes and tools.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration between research, operations, design, and engineering teams is crucial for project success.

• Open Communication: A culture that encourages sharing feedback, ideas, and challenges openly.

• Efficiency-Oriented: A shared goal of streamlining processes and maximizing productivity in a remote setting.

📝 Enhancement Note: The company culture likely values individuals who are not only technically proficient but also possess strong interpersonal skills and a drive for continuous improvement, mirroring the core values of successful operations teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Managing Multiple Projects: Juggling competing priorities and deadlines across various research projects in a fast-paced environment.

• Data Complexity: Analyzing and synthesizing large volumes of qualitative and quantitative data to extract meaningful insights.

• Adapting to Proprietary Tools: Quickly learning and becoming proficient with new, specialized platforms.

• Remote Collaboration: Maintaining effective communication and teamwork in a distributed setting.

Learning & Development Opportunities:

• Skill Specialization: Gaining in-depth expertise in advanced qualitative analysis techniques and UX research methodologies.

• Tool Mastery: Becoming an expert user of Pulse Labs AI's proprietary technology.

• Cross-Functional Exposure: Understanding the product development lifecycle from research to engineering and design.

• Process Optimization: Contributing to and potentially leading initiatives to improve operational efficiency within the research team.

📝 Enhancement Note: The role offers significant opportunities to develop specialized analytical skills and gain experience in operationalizing research, which are highly transferable to broader GTM and product strategy roles.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to analyze a large dataset with ambiguous requirements. How did you approach it, and what were the outcomes?" (Focus on your process, problem-solving, and ability to derive insights from complexity.)

• "How do you ensure the quality and integrity of data when working on multiple projects simultaneously?" (Highlight your attention to detail, process management, and quality control measures.)

Company & Culture Questions:

• "What interests you about Pulse Labs AI and our approach to UX research?" (Research the company's mission, technology, and recent news.)

• "How do you handle working in a fast-paced, multi-project environment, especially remotely?" (Emphasize your organizational skills, time management, and communication strategies.)

Portfolio Presentation Strategy:

• Structure Your Examples: For each portfolio piece, clearly outline the problem, your methodology, your specific contributions (especially operational ones), the key findings, and the impact/recommendations.

• Quantify Achievements: Use numbers and metrics where possible to demonstrate the scale of projects or the impact of your work.

• Focus on Process and Insight: Show not just the final report, but also your thought process in analyzing the data and how you arrived at your conclusions.

• Be Ready for Questions: Anticipate questions about your specific contributions, challenges faced, and how you would apply your skills to Pulse Labs AI's projects.

📝 Enhancement Note: Interview preparation should focus on demonstrating not only analytical prowess but also strong operational discipline, adaptability, and effective communication within a remote and fast-paced team setting.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Workable application link provided.

• Tailor Your Resume: Highlight experience in research analysis, data collection/interpretation, project logistics, and proficiency with tools like Google Sheets. Use keywords from the job description (e.g., "qualitative data," "data visualization," "operations environment," "research lifecycle").

• Prepare Your Portfolio: Select 2-3 key projects that best showcase your analytical skills, operational execution in research, data visualization abilities, and client reporting experience. Ensure clear documentation of your role and impact.

• Research Pulse Labs AI: Understand their mission, proprietary tools, and the types of clients they serve. This will help tailor your answers and demonstrate genuine interest.

• Practice Your Pitch: Be ready to concisely articulate your experience, why you are a strong fit for this specific role, and how you can contribute to their team's success.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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